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020 _a3319520482
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020 _a9783319520483
_q(electronic bk.)
020 _z3319520474
020 _z9783319520476
_q(print)
035 _a(OCoLC)968211943
_z(OCoLC)968660913
_z(OCoLC)974649953
_z(OCoLC)981889011
_z(OCoLC)1005833056
_z(OCoLC)1011908261
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_bspa
050 4 _aTK7881.25
_bG439 2017 EB
100 1 _aGhayvat, Hemant,
_eautor
245 1 0 _aWellness protocol for smart homes :
_ban integrated framework for ambient assisted living
_cHemant Ghayvat, Subhas Chandra Mukhopadhyay.
264 1 _aCham
_bSpringer
_c2017
300 _a1 recurso en línea
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aSmart sensors, measurement and instrumentation
_x2194-8402
_vvolume 24
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas
505 0 _aIntroduction -- Literature Survey -- Wellness Protocol Development and Implementation -- Issues and Mitigation of WSNs-based Smart Building Systems -- Activity Detection and Wellness Pattern Generation -- Wellness Pattern Generation and Forecasting -- Conclusion and Future Works.
520 3 _aThis book focuses on the development of wellness protocols for smart home monitoring, aiming to forecast the wellness of individuals living in ambient assisted living (AAL) environments. It describes in detail the design and implementation of heterogeneous wireless sensors and networks as applied to data mining and machine learning, which the protocols are based on. Further, it shows how these sensor and actuator nodes are deployed in the home environment, generating real-time data on object usage and other movements inside the home, and therefore demonstrates that the protocols have proven to offer a reliable, efficient, flexible, and economical solution for smart home systems. Documenting the approach from sensor to decision making and information generation, the book addresses various issues concerning interference mitigation, errors, security and large data handling. As such, it offers a valuable resource for researchers, students and practitioners interested in interdisciplinary studies at the intersection of wireless sensing processing, radio communication, the Internet of Things and machine learning, and in how they can be applied to smart home monitoring and assisted living environments.
650 7 _aDomótica
_2embne
_0(OCoLC)fst00959102
_0
_9424527
700 1 _aMukhopadhyay, Subhas Chandra,
_eautor
_997236
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-52048-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017B
998 _b02/2018
_dz
_e-
_zSI
999 _c95207
_d95207
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